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Assistant Professor of Allame Tabatabaei University
Abstract
In this paper the new model of Locally Stationary Wavelet (LSW) processes is introduced which is based on reconstruction of functions using wavelets. This model creates a new class of time series that can have a non-stationary behavior. It is observed that, LSW model has a construction similar to moving average model. Finally time series data for Consumer Price Index (CPI) of the country (Iran) in a definite time interval is investigated using this model
Hosseini,B. and Poortaheri,R. (2012). Locally Stationary Wavelet Process and Its Application in Consumer Price Index. Journal of Investment Knowledge, 1(بهار 1391), 67-82.
MLA
Hosseini,B. , and Poortaheri,R. . "Locally Stationary Wavelet Process and Its Application in Consumer Price Index", Journal of Investment Knowledge, 1, بهار 1391, 2012, 67-82.
HARVARD
Hosseini B., Poortaheri R. (2012). 'Locally Stationary Wavelet Process and Its Application in Consumer Price Index', Journal of Investment Knowledge, 1(بهار 1391), pp. 67-82.
CHICAGO
B. Hosseini and R. Poortaheri, "Locally Stationary Wavelet Process and Its Application in Consumer Price Index," Journal of Investment Knowledge, 1 بهار 1391 (2012): 67-82,
VANCOUVER
Hosseini B., Poortaheri R. Locally Stationary Wavelet Process and Its Application in Consumer Price Index. Journal of Investment Knowledge, 2012; 1(بهار 1391): 67-82.